Publications

2024

1. JMLR

   

   QDax: A library for quality-diversity and population-based algorithms with hardware acceleration

   Felix Chalumeau, Bryan Lim, Raphael Boige, and 8 more authors

   Journal of Machine Learning Research, 2024

   Bib PDF Code

   @article{chalumeau2024qdax,
     title = {QDax: A library for quality-diversity and population-based algorithms with hardware acceleration},
     author = {Chalumeau, Felix and Lim, Bryan and Boige, Raphael and Allard, Maxime and Grillotti, Luca and Flageat, Manon and Mac{\'e}, Valentin and Richard, Guillaume and Flajolet, Arthur and Pierrot, Thomas and Cully, Antoine},
     journal = {Journal of Machine Learning Research},
     volume = {25},
     number = {108},
     pages = {1--16},
     year = {2024},
   }

2. GECCO

   Quality with Just Enough Diversity in Evolutionary Policy Search

   Paul Templier, Luca Grillotti, Emmanuel Rachelson, and 2 more authors

   In Proceedings of the Genetic and Evolutionary Computation Conference, 2024

   Bib PDF

   @inproceedings{templier2024quality,
     title = {Quality with Just Enough Diversity in Evolutionary Policy Search},
     author = {Templier, Paul and Grillotti, Luca and Rachelson, Emmanuel and Wilson, Dennis and Cully, Antoine},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},
     pages = {105--113},
     year = {2024},
   }

3. ICML

   

   Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics

   Luca Grillotti^*, Maxence Faldor^*, Borja González León, and 1 more author

   In International Conference on Machine Learning, 2024

   Bib PDF Poster Website

   @inproceedings{airl2024qdac,
     title = {Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics},
     author = {Grillotti, Luca and Faldor, Maxence and González León, Borja and Cully, Antoine},
     booktitle = {International Conference on Machine Learning},
     year = {2024},
     organization = {PMLR},
   }

2023

1. TMLR

   Accelerated Quality-Diversity through Massive Parallelism

   Bryan Lim, Maxime Allard, Luca Grillotti, and 1 more author

   Transactions on Machine Learning Research, 2023

   Bib PDF

   @article{lim2023accelerated,
     title = {Accelerated Quality-Diversity through Massive Parallelism},
     author = {Lim, Bryan and Allard, Maxime and Grillotti, Luca and Cully, Antoine},
     journal = {Transactions on Machine Learning Research},
     year = {2023},
   }

2. GECCO

   

   Don’t Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains

   Luca Grillotti^*, Manon Flageat^*, Bryan Lim, and 1 more author

   In Proceedings of the Genetic and Evolutionary Computation Conference, 2023

   Bib PDF Website

   @inproceedings{grillotti2023don,
     title = {Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains},
     author = {Grillotti, Luca and Flageat, Manon and Lim, Bryan and Cully, Antoine},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},
     year = {2023},
   }

3. GECCO
   QD Benchmark
   Workshop

   Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains

   Manon Flageat, Luca Grillotti, and Antoine Cully

   In GECCO Workshop on Benchmarks for Quality-Diversity algorithms, 2023

   Bib PDF

   @inproceedings{flageat2023benchmark,
     title = {Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains},
     author = {Flageat, Manon and Grillotti, Luca and Cully, Antoine},
     booktitle = {GECCO Workshop on Benchmarks for Quality-Diversity algorithms},
     year = {2023},
   }

4. GECCO
   QD Benchmark
   Workshop

   

   Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms

   Luca Grillotti, and Antoine Cully

   In GECCO Workshop on Quality Diversity Algorithm Benchmarks, 2023

   Bib Code

   @inproceedings{grillotti2023kheperax,
     title = {Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms},
     author = {Grillotti, Luca and Cully, Antoine},
     booktitle = {GECCO Workshop on Quality Diversity Algorithm Benchmarks},
     year = {2023},
   }

2022

1. IEEE TEVC

   

   Unsupervised Behavior Discovery With Quality-Diversity Optimization

   Luca Grillotti, and Antoine Cully

   IEEE Transactions on Evolutionary Computation, 2022

   Bib HTML PDF

   @article{grillotti2022unsupervised,
     title = {Unsupervised Behavior Discovery With Quality-Diversity Optimization},
     author = {Grillotti, Luca and Cully, Antoine},
     journal = {IEEE Transactions on Evolutionary Computation},
     volume = {26},
     number = {6},
     pages = {1539--1552},
     year = {2022},
     publisher = {IEEE},
   }

2. GECCO

   

   Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms

   Luca Grillotti, and Antoine Cully

   In Proceedings of the Genetic and Evolutionary Computation Conference, 2022

   Bib HTML PDF

   @inproceedings{grillotti2022relevance,
     title = {Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms},
     author = {Grillotti, Luca and Cully, Antoine},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},
     pages = {77--85},
     year = {2022},
   }

3. ICRA

   

   Dynamics-aware quality-diversity for efficient learning of skill repertoires

   Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, and 1 more author

   In 2022 International Conference on Robotics and Automation (ICRA), 2022

   Bib HTML PDF

   @inproceedings{lim2022dynamics,
     title = {Dynamics-aware quality-diversity for efficient learning of skill repertoires},
     author = {Lim, Bryan and Grillotti, Luca and Bernasconi, Lorenzo and Cully, Antoine},
     booktitle = {2022 International Conference on Robotics and Automation (ICRA)},
     pages = {5360--5366},
     year = {2022},
     organization = {IEEE},
   }

4. ICLR
   ALOE Workshop

   Accelerated Quality-Diversity for Robotics through Massive Parallelism

   Bryan Lim, Maxime Allard, Luca Grillotti, and 1 more author

   In ICLR Workshop on Agent Learning in Open-Endedness, 2022

   Bib PDF

   @inproceedings{lim2022accelerated,
     title = {Accelerated Quality-Diversity for Robotics through Massive Parallelism},
     author = {Lim, Bryan and Allard, Maxime and Grillotti, Luca and Cully, Antoine},
     booktitle = {ICLR Workshop on Agent Learning in Open-Endedness},
     year = {2022},
   }

5. ICLR
   ALOE Workshop

   Discovering Unsupervised Behaviours from Full State Trajectories

   Luca Grillotti, and Antoine Cully

   In ICLR Workshop on Agent Learning in Open-Endedness, 2022

   Bib PDF

   @inproceedings{grillotti2022discovering,
     title = {Discovering Unsupervised Behaviours from Full State Trajectories},
     author = {Grillotti, Luca and Cully, Antoine},
     booktitle = {ICLR Workshop on Agent Learning in Open-Endedness},
     year = {2022},
   }

6. GECCO
   QD Benchmark
   Workshop

   Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning

   Manon Flageat, Bryan Lim, Luca Grillotti, and 3 more authors

   In GECCO Workshop on Benchmarks for Quality-Diversity algorithms, 2022

   Bib PDF

   @inproceedings{flageat2022benchmarking,
     title = {Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning},
     author = {Flageat, Manon and Lim, Bryan and Grillotti, Luca and Allard, Maxime and Smith, Simón C and Cully, Antoine},
     booktitle = {GECCO Workshop on Benchmarks for Quality-Diversity algorithms},
     year = {2022},
   }

7. GECCO Poster

   QDax: on the benefits of massive parallelization for quality-diversity

   Bryan Lim, Maxime Allard, Luca Grillotti, and 1 more author

   In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022

   Bib HTML PDF

   @inproceedings{lim2022qdax,
     title = {QDax: on the benefits of massive parallelization for quality-diversity},
     author = {Lim, Bryan and Allard, Maxime and Grillotti, Luca and Cully, Antoine},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
     pages = {128--131},
     year = {2022},
   }